2010
DOI: 10.3905/jod.2010.17.3.065
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A Simplified Approach to Approximate Diffusion Processes Widely Used in Finance

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Cited by 22 publications
(15 citation statements)
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“…The algorithm is also flexible because it allows the use of other assumptions concerning the behavior of the underlying asset price, e.g., constant elasticity of variance specification, without much effort. Indeed, having chosen a procedure which makes recombining the discrete evolution of the underlying asset (cfr., Nelson and Ramaswamy [15], Costabile and Massabó [16], among others), the algorithm presented in this paper may be straightforwardly applied.…”
Section: Discussionmentioning
confidence: 91%
“…The algorithm is also flexible because it allows the use of other assumptions concerning the behavior of the underlying asset price, e.g., constant elasticity of variance specification, without much effort. Indeed, having chosen a procedure which makes recombining the discrete evolution of the underlying asset (cfr., Nelson and Ramaswamy [15], Costabile and Massabó [16], among others), the algorithm presented in this paper may be straightforwardly applied.…”
Section: Discussionmentioning
confidence: 91%
“…Our lattice-based model overcomes this drawback by directly discretizing the original (heteroskedastic) spot rate process following the approach suggested in Costabile and Massabò (2010). This discretization scheme is based on a recombining binomial tree that converges weakly to the continuous diffusion process.…”
Section: Discussionmentioning
confidence: 99%
“…The first step of the algorithm is to provide a discretization for the spot rate process (2) using the approach recently suggested in Costabile and Massabò (2010). As usual, we start by dividing the claim lifetime T into n subintervals of equal length t = T /n.…”
Section: The Spot Rate Process Discretizationmentioning
confidence: 99%
See 1 more Smart Citation
“…To develop a tree based method in a dH context, we approximate the dynamics of both the squared volatilities in the asset price process by two recombining binomial lattices according to the approach proposed in [10]. Once the two univariate lattices have been established, we combine them into a "binomial pyramid" with each node branching into four.…”
Section: Introductionmentioning
confidence: 99%